Tag Archives: Big Data

Introduction Every software application can, in essence, be divided into two types : Compute Intensive Applications and Data Intensive Applications. And then there are applications that fall somewhere between these two extremes. Today I would be talking about how to define the High Level Architecture for applications that are focused on leveraging the data of the enterprise in order to ...

ORM frameworks help developers when they want to interact with relational databases. There are many excellent ORM frameworks for relational databases such as Hibernate and Apache OpenJPA and some of them are really good. Nowadays, big data is emerging and more and more people develops applications which runs on big data. There have been developed different kinds of NoSQL databases to store such ...

Big Data has been a hype for many years. I’ve seen a few “Big Data” projects start in the past with a lot of fanfare and promise.The promise has always been that “we will start getting a holistic picture of our departmental silos and gain numerous insights from our data that will help us get ahead of our competitors”. The ...

In today’s world of data explosion, big data applications and their implementations are growing dramatically. As data is at the heart of any big data application, it is important to understand the characteristics of big data. The three most unique characteristics of big data are ‘Volume’, ‘Velocity’ and ‘Variety’. And these data comes in different format from multiple channels. All ...

In a previous post I described an example to perform a PageRank calculation which is part of the Mining Massive Dataset course with Apache Hadoop. In that post I took an existing Hadoop job in Java and modified it somewhat (added unit tests and made file paths set by a parameter). This post shows how to use this job on ...

Currently I am following the Coursera training ‘Mining Massive Datasets‘. I have been interested in MapReduce and Apache Hadoop for some time and with this course I hope to get more insight in when and how MapReduce can help to fix some real world business problems (another way to do so I described here). This Coursera course is mainly focussing ...

We all know how it works. You walk into a doctor’s office complaining about some pain in your leg or otherwise. They take your temperature, get you on the scale, check your blood pressure, and perhaps even get out the rubber hammer. These measurements are simply snapshots at one particular instant in time and may be subject to error. This ...

Hive has been using ZooKeeper as distributed lock manager to support concurrency in HiveServer2. The ZooKeeper-based lock manager works fine in a small scale environment. However, as more and more users move to HiveServer2 from HiveServer and start to create a large number of concurrent sessions, problems can arise. The major problem is that the number of open connections between ...

Today’s data is dynamic and application-driven. The growth of a new era of business applications driven by industry trends such as web/social/mobile/IOT are generating datasets with new data types and new data models. These applications are iterative, and the associated data models typically are semi-structured, schema-less and constantly evolving. Semi-structured where an element can be complex/nested, and schema-less with its ...

Pivotal, IBM and Hortonworks announced today the “Open Data Platform” (ODP) – an attempt to standardize Hadoop. This move seems to be backed up by IBM, Teradata and others that appear as sponsors on the initiative site. This move has a lot of potential and a few possible downsides. ODP promises standardization – Cloudera’s Mike Olson downplays the importance of this ...

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